CloudThinker's Frontier Investigation Agents run your cloud operations. They find the why behind every production issue and propose the fix. Your engineers approve.
Connect read-only to start. No blanket access. Agents earn autonomy one runbook at a time.
The signal grows every quarter. The on-call rotation doesn't. Something has to close the gap between detect and resolve, safely.
Observability tells you something is wrong. Someone still has to wake up, investigate, and act. MTTR stays bottlenecked on the human in the loop.
A chat assistant hands you a command to paste. The work, and the risk of getting it wrong at 3 a.m., is still yours to carry.
Handing an AI production credentials with no sandbox, no scoping, and no audit is how a demo becomes an incident. Most teams don't dare.
Every cloud operations agent runs the same disciplined loop (Detect, Analyze, Remediate, Verify) so work gets finished, not just flagged.
Agents cluster raw signal from your observability and alerting stack into a real incident, cost anomaly, or security finding, not another page on noise.
They walk the dependency graph, correlate context, and reason about root cause, retrieving how a similar problem was solved before so they start smarter.
They execute the matching runbook inside a sandbox with scoped credentials: a reversible, policy-gated change, not a blind script against prod.
They confirm the fix held, roll back if it didn't, and write a tamper-evident record of every step so the next incident starts from what was learned.
You don't flip a switch and hand production to an AI. Promote each agent, and each runbook, from L1 to L4 as it proves reliable. MTTR drops without giving up control.
The agent watches and pages a human. Zero write access.
It drafts the fix as a scoped diff; a human approves before anything runs.
It acts inside a defined envelope and reports. You review outcomes, not keystrokes.
Trusted runbooks run end to end within policy. Engineers stay on the loop.
The controls that make production-grade autonomy safe aren't bolted on. They're how CloudThinker agents run every task.
Per-task identity, scoped and issued at task time. No standing keys, no secrets in the prompt.
Every action runs in an isolated environment where the credential lives in the sandbox, not the model context.
Sensitive data is tokenized at egress, so PII never reaches a third-party model in the clear.
Every decision and action is logged to an immutable record you can replay for compliance and post-mortems.
Review, Cyber, Resolve, Optimize and Customize run on one governed platform. Start where the pain is highest.
Finds the why behind production incidents, in minutes, and proposes the fix for your engineers to approve.
Learn morePays only for what you use. Finds waste, right-sizes resources and proposes the change under policy.
Learn moreHacks you before hackers do. Proves which findings are exploitable and proposes the fix.
Learn moreOutcomes compound as more runbooks graduate to autonomy, with the audit trail to prove every action was safe.
Agents finish the response instead of stopping at the alert, and Memory makes every recurring incident faster than the last.
Optimize finds and remediates waste continuously, so savings hold instead of drifting back after the quarterly review.
Autonomous agents take the night shift within their guardrails, so on-call reviews outcomes in the morning instead of firefighting overnight.
Agents find the why and propose the fix. Your engineers approve, under your policy, with a full audit trail. Start free with read-only Assessment, or book a demo.